Grid-to-Grid model estimates of monthly mean flow and soil moisture for Great Britain (1960 to 2015): observed driving data [MaRIUS-G2G-MORECS-monthly]
(MaRIUS-G2G-MORECS-monthly)
This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and MORECS potential evaporation). It provides monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for the period 1960 to 2015.
To aid interpretation, two additional spatial datasets are provided:
* Digitally-derived catchment areas on a 1km x 1km grid
* Estimated locations of flow gauging stations on a 1km x 1km grid and as a csv file.
The data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity.
To aid interpretation, two additional spatial datasets are provided:
* Digitally-derived catchment areas on a 1km x 1km grid
* Estimated locations of flow gauging stations on a 1km x 1km grid and as a csv file.
The data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity.
Publication date: 2018-03-09
View record as
Format
NetCDF
Spatial information
- Study area
-
- Spatial representation type
- Raster
- Spatial reference system
- OSGB 1936 / British National Grid
Temporal information
- Temporal extent
-
1960-01-01 to 2015-12-30
Provenance & quality
The flow and soil moisture estimates are output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org/10.1016/j.jhydrol.2009.08.031). The meteorological inputs to the model were rainfall from CEH-GEAR (Tanguy et al. 2016; https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca ) and potential evaporation from MORECS (Hough and Jones 1997; https://doi.org/10.5194/hess-1-227-1997). See Supporting Information for more details.
Citations
Bell, V. A., Kay, A., Rudd, A. C., Davies, H. N. (2018). The MaRIUS‐G2G datasets: Grid‐to‐Grid model estimates of flow and soil moisture for Great Britain using observed and climate model driving data. https://doi.org/10.1002/gdj3.55
Rudd A.C., Bell V.A. and Kay A.L. (2017). National-scale analysis of simulated hydrological droughts (1891-2015). Journal of Hydrology, 550. 368-385. https://doi.org/10.1016/j.jhydrol.2017.05.018
Bell, V.A., Kay, A.L., Rudd, A.C., & Davies, H.N. (2018). The MaRIUS-G2G datasets: Grid-to-Grid model estimates of flow and soil moisture for Great Britain using observed and climate model driving data. Geoscience Data Journal, 5(2), 63–72. https://doi.org/10.1002/gdj3.55
Kay, A.L., Bell, V.A., Davies, H.N., Lane, R.A. & Rudd, A.C. (2023) The UKSCAPE-G2G river flow and soil moisture datasets: Grid-to-Grid model estimates for the UK for historical and potential future climates. Earth System Science Data 15, 2533–2546. https://doi.org/10.5194/essd-15-2533-2023
Supplemental information
Bell V.A,. Kay A.L., Jones R.G., Moore R.J. and Reynard N.S. (2009). Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK. Journal of Hydrology, 377, 335-350.
Correspondence/contact details
Vicky Bell
UK Centre for Ecology & Hydrology
Maclean Building, Benson Lane, Crowmarsh Gifford
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
enquiries@ceh.ac.uk
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
Authors
https://orcid.org/0000-0002-0792-5650 Other contacts
- Custodian
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
-
NERC Environmental Information Data Centreinfo@eidc.ac.uk
Additional metadata
- Topic categories
- inlandWaters
- INSPIRE theme
- Hydrography
- Keywords
- drought , G2G , Great Britain , Grid-to-Grid , Hydrology , Modelling , River flow , Soil moisture
- Funding
- Natural Environment Research Council Award: NE/L010208/1
- Last updated
- 19 April 2024 09:33